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apiarya/wemo-mcp-server

v1.4.0 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Summary

AI summary

Added MCP resources and AI assistant slash‑command prompts.

Full changelog

What's New in v1.4.0

✨ MCP Resources

Two new resources for direct device data access:

  • devices:// — Static JSON index of all cached devices (falls back to persistent cache on restart)
  • device://{device_id} — Live device state by name or IP; supports URL-encoded names (e.g. device://Master%20Bed%20346)

✨ MCP Prompts

Four slash-command prompts for AI assistants:

  • discover-devices — Scan network and summarise all found WeMo devices
  • device-status-report — Report status of all known devices (pre-populated with cached names)
  • activate-scene — Control devices for preset lighting scenes (movie night, bedtime, wake up, away, full brightness)
  • troubleshoot-device — 4-step diagnostic sequence for a named device

🐛 Fixed

  • URL-encoded device IDs in resource template now decoded correctly (fixes device://Name%20With%20Spaces)

🔧 Improved

  • CI now runs all 128 unit tests (was 30)

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About apiarya/wemo-mcp-server

![wemo-mcp-server MCP server](https://glama.ai/mcp/servers/@apiarya/wemo-mcp-server) 🪟 - Control WeMo smart home devices via AI assistants using natural language. Built on pywemo for 100% local control — no cloud dependency. Supports dimmer brightness, device rename, HomeKit codes, and multi-phase discovery.

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Beta — feedback welcome: [email protected]